Construction of Communication Error Correction System Based on Support Vector Machine Algorithm

Support Vector Machine (SVM), as a data mining method, has been widely applied in various fields of society due to its strong generalization ability. SVM can rely on different algorithms to process data without explicit programming, more effectively solving complex problems, and is widely used in the field of wireless communication. With the popularization of intelligent mobile devices and the increasing demand for wireless services, how to achieve high-frequency spectrum utilization and low bit error rate signal transmission in low latency and large connection 5G scenarios has become a research hotspot. Wireless network communication is affected by multiple attribute factors of data and channel distortion, resulting in data errors. In order to improve communication stability, this paper constructs a communication error correction system based on SVM algorithm. Extract the features of network communication error data, group them, perform cross validation on each group of data, complete learning, and adjust parameters to achieve wireless network communication error data repair. The experimental results show that using this method for wireless network communication error data repair has good recall, and improves the anti-interference and error correction capabilities of wireless network communication.